@inproceedings{jimenez-zafra-etal-2020-detecting,
title = "Detecting Negation Cues and Scopes in {S}panish",
author = "Jim{\'e}nez-Zafra, Salud Mar{\'i}a and
Morante, Roser and
Blanco, Eduardo and
Mart{\'i}n Valdivia, Mar{\'i}a Teresa and
Ure{\~n}a L{\'o}pez, L. Alfonso",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.853/",
pages = "6902--6911",
language = "eng",
ISBN = "979-10-95546-34-4",
abstract = "In this work we address the processing of negation in Spanish. We first present a machine learning system that processes negation in Spanish. Specifically, we focus on two tasks: i) negation cue detection and ii) scope identification. The corpus used in the experimental framework is the SFU Corpus. The results for cue detection outperform state-of-the-art results, whereas for scope detection this is the first system that performs the task for Spanish. Moreover, we provide a qualitative error analysis aimed at understanding the limitations of the system and showing which negation cues and scopes are straightforward to predict automatically, and which ones are challenging."
}
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<abstract>In this work we address the processing of negation in Spanish. We first present a machine learning system that processes negation in Spanish. Specifically, we focus on two tasks: i) negation cue detection and ii) scope identification. The corpus used in the experimental framework is the SFU Corpus. The results for cue detection outperform state-of-the-art results, whereas for scope detection this is the first system that performs the task for Spanish. Moreover, we provide a qualitative error analysis aimed at understanding the limitations of the system and showing which negation cues and scopes are straightforward to predict automatically, and which ones are challenging.</abstract>
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%0 Conference Proceedings
%T Detecting Negation Cues and Scopes in Spanish
%A Jiménez-Zafra, Salud María
%A Morante, Roser
%A Blanco, Eduardo
%A Martín Valdivia, María Teresa
%A Ureña López, L. Alfonso
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G eng
%F jimenez-zafra-etal-2020-detecting
%X In this work we address the processing of negation in Spanish. We first present a machine learning system that processes negation in Spanish. Specifically, we focus on two tasks: i) negation cue detection and ii) scope identification. The corpus used in the experimental framework is the SFU Corpus. The results for cue detection outperform state-of-the-art results, whereas for scope detection this is the first system that performs the task for Spanish. Moreover, we provide a qualitative error analysis aimed at understanding the limitations of the system and showing which negation cues and scopes are straightforward to predict automatically, and which ones are challenging.
%U https://aclanthology.org/2020.lrec-1.853/
%P 6902-6911
Markdown (Informal)
[Detecting Negation Cues and Scopes in Spanish](https://aclanthology.org/2020.lrec-1.853/) (Jiménez-Zafra et al., LREC 2020)
ACL
- Salud María Jiménez-Zafra, Roser Morante, Eduardo Blanco, María Teresa Martín Valdivia, and L. Alfonso Ureña López. 2020. Detecting Negation Cues and Scopes in Spanish. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6902–6911, Marseille, France. European Language Resources Association.